{"id":"W2333920832","doi":"10.5194/amtd-6-6147-2013","title":"Application of high resolution Chemical Ionization Mass Spectrometry (CI-ToFMS) to study SOA composition: focus on formation of oxygenated species via aqueous phase processing","year":2013,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Research Foundation","keywords":"Chemistry; Mass spectrometry; Chemical ionization; Aqueous solution; Mass spectrum; Aerosol; Analytical Chemistry (journal); Reagent; Ionization; Time-of-flight mass spectrometry; Protonation; Ion; Chemical composition; Chromatography; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003400579,0.0005524589,0.0001713513,0.0004472779,0.0001990935,0.0003528871,0.0003529482,0.0005375302,0.00111329],"category_scores_gemma":[0.0004291125,0.0001224601,0.0002364659,0.0002094319,0.00028139,0.0003455115,0.0002654539,0.0004239233,0.0003019405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002375272,"about_ca_system_score_gemma":0.0002311604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008639181,"about_ca_topic_score_gemma":0.001140067,"domain_scores_codex":[0.9997773,0.00002033446,0.000009134096,0.00007839844,0.00008868589,0.00002613878],"domain_scores_gemma":[0.9997823,0.00007611957,0.00004690561,0.00001683068,0.00005821269,0.00001964531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000246061,0.000006059743,0.0007878084,0.00003352227,0.000006853909,0.00002498206,0.000009544212,0.00003800035,0.9971492,0.00003553549,0.00002377865,0.001860139],"study_design_scores_gemma":[0.000004204741,0.0001095511,0.004449277,0.000004593167,0.00001092469,0.0001603298,0.00002946901,0.001190103,0.9929986,0.00006104544,0.0009758057,0.000006006724],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9400048,0.003446304,0.04936272,0.0001950876,0.0001274671,0.0001268696,0.0007053276,0.000352017,0.00567943],"genre_scores_gemma":[0.9601761,0.001497668,0.0359995,0.0002115482,0.00004045027,0.00004807644,0.0003313177,0.00003590065,0.001659526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00111329,"threshold_uncertainty_score":0.003724337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01309923520698131,"score_gpt":0.2332035805308008,"score_spread":0.2201043453238195,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}